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Learner Reviews & Feedback for AWS Computer Vision: Getting Started with GluonCV by Amazon Web Services

384 ratings
108 reviews

About the Course

This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Each week will focus on different aspects of computer vision with GluonCV. In week one, we will present some basic concepts in computer vision, discuss what tasks can be solved with GluonCV and go over the benefits of Apache MXNet. In the second week, we will focus on the AWS services most appropriate to your task. We will use services such as Amazon Rekognition and Amazon SageMaker. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. Finally, there are demonstrations on how to set up each of the services covered in this module. Week three will focus on setting up GluonCV and MXNet. We will look at using pre-trained models for classification, detection and segmentation. During week four and five, we will go over the fundamentals of Gluon, the easy-to-use high-level API for MXNet: understanding when to use different Gluon blocks, how to combine those blocks into complete models, constructing datasets, and writing a complete training loop. In the final week, there will be a final project where you will apply everything you’ve learned in the course so far: select the appropriate pre-trained GluonCV model, apply that model to your dataset and visualize the output of your GluonCV model....

Top reviews

Mar 17, 2020

I really liked this class. The labs were fun to do. I am hoping to pass the AWS Machine Learning certification and I am hoping this class got me closer to that goal.

May 1, 2021

Comprehensive & Informative. I took nearly 12 weeks to complete the course. Worth the time. Highly recommended for anyone looking to get started with GluonCV.

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76 - 100 of 108 Reviews for AWS Computer Vision: Getting Started with GluonCV

By Abhijnan R

Jun 29, 2020



Jun 24, 2020


By Akaram R

Jun 23, 2020


By T. A

Jun 20, 2020



Jun 10, 2020


By Rajeev y

Jun 9, 2020


By Chathura S R

Jun 9, 2020


By Aymen R

Jun 25, 2020



May 19, 2020

This course is very good with its contents of the beginners in Computer Vision. The course covers the End--to-End process for the computer vision tasks along with the related theoretical concepts.

The course also includes some of the practice assignments which are graded to test the knowledge and understanding of the students.

Looking after for other such courses related to other advance concepts of computer vision and machine learning.

By kieran c

Nov 15, 2020

you really need a theoretical background in AI before you start. The labs were ok, but it would have been an awful lot better if a preconfigured VM was exposed on AWS or a proper image was made available for docker.

The course was a bit confused i.e. the AWS soft sell, then rapid change to advanced theory and code, but I have to say it was very good.

By Kuldeep S

May 21, 2020

The course is structured very well, being a first time learner having some knowledge of neural network and jupyter notebook, it was easy to understand. During the course it was hard to create assignment questions but they were really needed to clear concept. Overall It is good course.

By Adrian L

May 4, 2021

Excellent way to get introduced to gluonCV and it powerful tools to run pre trained models using popular datasets on Compute vision, looking forward to apply the knowledge on remote sensing images.

By Michael L

Jun 16, 2020

Very well developed course. It's both an introduction to AWS for machine learning and hands-on labs on GluonCV. Would like to see a new course with more advanced topics!

By M. H A P

Aug 21, 2020

Graded Assignment is too hard, not recommended for beginner

By Rachit S

May 20, 2020

some topics could have been explained more in detail


May 28, 2020

Very informative course. I learned a lot ...

By Bhagya S

Aug 15, 2021

good, but it's not a beginner course

By Abrar M

May 25, 2020

not beginner-level course

By Umesh k s

Jun 30, 2020

Best cource for student

By Bhargav M

Jun 12, 2020

Good for knowledge

By Ashish K

Jun 11, 2020

great learning

By Ravi R S

Jul 26, 2020

great course


Jun 10, 2020

help thanks

By Hemanth K y

Jul 7, 2020


By Vanshika S 5

Jun 27, 2020

This is a beginner course but is does not seems like that.

Some more details and explanations of the programming part would really help to the students like me who don't have any past experience with machine learning.